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Sessions Found: 39
in questa sessione, Giuliano e Alessandro mostrano le tecnologie disponibili per trasportare velocemente dati di produzione in ambienti isolati da usare in: test di integrazione, emulazione di rilasci e controllo di anomalie. Dal cloning in Hyper-V ai container Docker, vedremo quanto è semplice fare provisioning di dati su Microsoft SQL Server per verificare la presenza di regressioni nell'integrare le modifiche prodotte dal Team di sviluppo
https://speakerscore.com/XJF3
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t4

Level: Intermedia

Session Code:

Date: May 30

Time: 10:45 AM - 11:45 AM

Room: Track 4 - https://bit.ly/sqlsat921t4

“SQL + R + Power BI = Demand Planning”
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t2

Level: Beginner

Session Code:

Date: May 30

Time: 10:20 AM - 11:20 AM

Room: Track 2 - https://bit.ly/sqlsat921t2

(Envisioning Consulcesi)
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t2

Level: Beginner

Session Code:

Date: May 30

Time: 3:05 PM - 4:05 PM

Room: Track 2 - https://bit.ly/sqlsat921t2

Envisioning Microsoft
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t4

Level: Beginner

Session Code:

Date: May 30

Time: 3:05 PM - 4:05 PM

Room: Track 4 - https://bit.ly/sqlsat921t4

SmartMan: ERP Industria 4.0
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t5

Level: Beginner

Session Code:

Date: May 30

Time: 10:20 AM - 11:20 AM

Room: Track 5 - https://bit.ly/sqlsat921t5

(Envisioning SolidQ)
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t1

Level: Beginner

Session Code:

Date: May 30

Time: 3:05 PM - 4:05 PM

Room: Track 1 - https://bit.ly/sqlsat921t1

Utilizzo di Power Platform per l’integrazione tra software: un esempio concreto
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t3

Level: Beginner

Session Code:

Date: May 30

Time: 10:20 AM - 11:20 AM

Room: Track 3 - https://bit.ly/sqlsat921t3

Jupyter Notebooks and Apache Spark are first class citizens of the Data Science space, a truly requirement for the "modern" data scientist. But there was a requirement: being a python developer. Now Microsoft is investing on C# as another first class citizen in this space. Let's look what .net can do for notebooks and spark and what are notebooks and spark. https://speakerscore.com/Z2F6
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t3

Level: Intermedia

Session Code:

Date: May 30

Time: 4:35 PM - 5:35 PM

Room: Track 3 - https://bit.ly/sqlsat921t3

Lavorando con i dati, capita sempre più frequentmente di doversi confrontare con mondi che fino a poco tempo fa erano quasi estranei fra loro. 
SQL Server 2019, per esempio, introduce per la prima volta con i nuovi Big Data Cluster il supporto nativo ad Apache Spark, rendendo concreta la convivenza tra il carico di lavoro tipico di un engine relazionale e il calcolo distribuito.

Proveniendo da un ambiente SQL, l'approccio ad Apache Spark tramite il suo dialetto Spark SQL può sembrare molto naturale e poco ostico. La sensazione di "sentirsi a casa", però, non deve far dimenticare che l'engine sottostante ragiona in modo molto diverso da quello a cui siamo abituati.

In questa sessione proveremo ad avvicinarci ad Apache Spark partendo dalle sue basi, così da capire come ragiona e conoscerlo per affrontarlo al meglio. https://speakerscore.com/C4XR
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t3

Level: Beginner

Session Code:

Date: May 30

Time: 9:15 AM - 10:15 AM

Room: Track 3 - https://bit.ly/sqlsat921t3

Power BI makes advanced analytics handy for business users, allowing stakeholders to extract knowledge and insights from data, to solve business problems and make decisions.  
This session will introduce to the advanced analytics features of Power BI, showcasing some real word areas of application: forecasting, predictive analytics, machine learning algorithms, customer sentiment analysis.  
For every case it will also be covered the integration with all the complementary tools needed for building a working solution: Azure ML, Cognitive Services, R, Key influence visuals, ...
Discover how easy is using advanced analytics in Power BI to effectively address the business challenge and uncover new insights https://speakerscore.com/K866
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t2

Level: Intermedia

Session Code:

Date: May 30

Time: 2:00 PM - 3:00 PM

Room: Track 5 - https://bit.ly/sqlsat921t5

Azure Databricks is an  Apache Spark–based analytics service for big data and data analytics on top.
In this session we will create Databricks scenarios for useful business scenarios.

Data engineers and business analysts (data scientists) can now work on RDD structured files using workbooks for collaborative projects, using ANSI SQL, R, Python or Scala, easily covering both analytical and machine learning solutions on one hand, and also giving the capabilities to use it as a datawarehouse. https://speakerscore.com/PHXH
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t1

Level: Intermedia

Session Code:

Date: May 30

Time: 3:30 PM - 4:30 PM

Room: Track 1 - https://bit.ly/sqlsat921t1

Developing application for Smart city, Sensors, Industrial IoT increasingly need more affordable and powerful way to store data and manage it. 
Now we can also use the same approach we have in our client server distributed application even in remote deployed devices frquently not connected to internet.
Expand device architecture coverage to include ARM-based devices on top of x64-based architecture. Use Kubernetes to orchestrate your device infrastructure for better efficiency and automation. Run SQL Database Edge connected or offline to support various edge environments. https://speakerscore.com/NQXH
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t3

Level: Intermedia

Session Code:

Date: May 30

Time: 2:00 PM - 3:00 PM

Room: Track 3 - https://bit.ly/sqlsat921t3

Data warehouse and BI market is evolving rapidly with the appearance of new cloud born technologies. We might assume, that moving an existing Microsoft based DWH to the cloud is an easy step, but when we dig a little bit deeper, we will see, there are many-many new technological choices and aspects on how to modernize an existing dwh/bi system in the cloud. Not to mention if we start everything from scratch in a new project designed specifically to the cloud to utilize cloud flexibility and innovation as much as possible. 
Which ETL tool should I use? Data factory v2 with SSIS and BIML, or Azure Databricks powered Dataflows? Or Power BI Dataflow? Which is the right decision to run OLAP workloads? Azure AS? Or simply Power BI? When do I need Azure SQL DWH?
In the last couple years I helped many customers to modernize their DWH landscape partially or fully in the cloud and during my presentation I will share my findings and recipes for the most common situation I met. You will have fun:) https://speakerscore.com/W9GC
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t1

Level: Intermedia

Session Code:

Date: May 30

Time: 2:00 PM - 3:00 PM

Room: Track 1 - https://bit.ly/sqlsat921t1

Durante la sessione vedremo le tecniche di base per estrarre informazioni da testo scritto in linguaggio naturale, creare un semplice servizio e pubblicarlo come container attraverso Machine Learning Services.
https://speakerscore.com/KW22
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t4

Level: Beginner

Session Code:

Date: May 30

Time: 3:30 PM - 4:30 PM

Room: Track 4 - https://bit.ly/sqlsat921t4

Quali sono le caratteristiche fondamentali del Data Storytelling? Come utilizzare PowerBI non solo come strumento di analisi dati ma anche di data storytelling? Durante la sessione scopriremo come il cervello umano reagisce a ciò che vede e quali sono le più importanti best practices inerenti alla visualizzazione dati. Scopriremo inoltre le principali caratteristiche dei visual più usati e quando usarli o non usarli. https://speakerscore.com/81RK
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t3

Level: Intermedia

Session Code:

Date: May 30

Time: 11:50 AM - 12:50 PM

Room: Track 3 - https://bit.ly/sqlsat921t3

Il serverless è la nuova frontiera dello sviluppo Cloud e le Azure Functions sono uno degli strumenti a disposizione per implementare questo nuovo paradigma. SQL Server è un componente importante nell'ecosistema Azure ma non esiste, al momento, un modo "chiavi in mano" per poterlo utilizzare all'interno delle Azure Functions.
In questa sessione vedremo come scalare correttamente una applicazione che ha la necessità di scrivere e leggere su SQL Azure e di come ridurre al minimo il codice applicativo. https://speakerscore.com/JTKD
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t4

Level: Intermedia

Session Code:

Date: May 30

Time: 4:35 PM - 5:35 PM

Room: Track 5 - https://bit.ly/sqlsat921t5

Uno dei punti di forza di Power BI risiede nelle performance del suo engine di Power Query e nella capacità di semplificare lo sviluppo dell'intera fase ETL attraverso l'uso della sola interfaccia grafica. Ma dietro le quinte ogni nostro "click" si traduce in codice "M" e conoscere tale linguaggio consente di ampliare  ulteriormente le potenzialità di Power BI e quindi dei nostri modelli. In questa sessione introduttiva verranno descritti i principali costrutti e le regole base del linguaggio e si mostreranno alcuni esempi pratici di utilizzo all'interno dei modelli di Power BI. https://speakerscore.com/BQ76
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t2

Level: Beginner

Session Code:

Date: May 30

Time: 10:45 AM - 11:45 AM

Room: Track 2 - https://bit.ly/sqlsat921t2

IT market Clock for Database Management Systems
Speaker:

Accompanying Materials:

No material found.

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t4

Level: Beginner

Session Code:

Date: May 30

Time: 10:20 AM - 11:20 AM

Room: Track 4 - https://bit.ly/sqlsat921t4

Power BI is a cloud-based service; it means that it comes along with a standard set of APIs that provides access to its internal resources such as reports, datasets, rows.   
Using APIs gives more flexibility and allows to build custom dashboard applications either for administering or query the service.  
And if you combine the power of APIs with Microsoft Flow, you can automate some background processes such as adding users, granting rights, update or refresh datasets, ... 
The session is demo only. A complete walk-through to the process, will show you how to register an app, create a custom connector and leverage Power BI API actions by triggering a Microsoft Flow object. https://speakerscore.com/VK14
Speaker:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t2

Level: Advanced

Session Code:

Date: May 30

Time: 4:35 PM - 5:35 PM

Room: Track 2 - https://bit.ly/sqlsat921t2

Il modello composito consente di avere tabelle enormi come origine DirectQuery e alcune tabelle più piccole in modalità di importazione. Quando parliamo di tabelle enormi le prestazioni sono sempre una sfida. In questa sessione, parleremo di come le aggregazioni possono essere utili per accelerare le prestazioni. Puoi vedere come gigabyte di dati possono essere analizzati e visualizzati in meno di un secondo. Scopri molti suggerimenti, trucchi e aspetti interni sulle aggregazioni in Power BI e sul loro utilizzo in un modello composito. https://speakerscore.com/MDN9
Speaker:

Accompanying Materials:

Session Type:
Regular Session (60 minutes)

Track:
https://bit.ly/sqlsat921t5

Level: Beginner

Session Code:

Date: May 30

Time: 3:30 PM - 4:30 PM

Room: Track 5 - https://bit.ly/sqlsat921t5

Sessions Found: 39
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